the virtual enterprises face more risk than traditional enterprises as they are dynamic, temporary and with multi-partners. In order to control the risk to the acceptable level, the Multi Strategies Multi Choices (MSM...
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Genetic Algorithms have demonstrated their good performance in combinational search processes. they have been widely used in the field of production programming for manufacturing systems, but not yet for closed loop m...
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ISBN:
(纸本)9781629934709
Genetic Algorithms have demonstrated their good performance in combinational search processes. they have been widely used in the field of production programming for manufacturing systems, but not yet for closed loop manufacturing cells. In addition, simulation has become an important tool in order to obtain the necessary information about the capacities and functioning of complex systems quickly and without risking production. this work attempts to combine these two approaches in order to develop an alternative process and an own structure for the design and production programming of a flexible manufacturing cell. We also aim to demonstrate the efficiency of our method in comparison with some of the traditional processes, and hope that it will serve as a reference for future research within the field of production optimization for flexible manufacturing cells. the work is divided into 7 sections. In the first section, we discuss the state of the art;and in the second section, we explain the object and material of the study. In section 3, we develop the main structure of the genetic algorithm;in section 4, we optimize our algorithm;in section 5, we discuss the simulation program;in section 6, we give the final results for traditional programming methods and we compare them to the GA;and finally, in section 7, we give our conclusions.
the combination of a classifier system with an evolutionary image generation engine is explored. the framework is composed of an object detector and a general purpose, expressionbased, genetic programming engine. Seve...
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A multi-objective fuzzy dynamic programming model for three Gorges cascaded hydropower is presented in this paper. three Gorges cascaded hydropower is a multifunctional reservoir, and it plays a great role in power ge...
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Withthe widespread adoption of 5G and IoT, computers are extensively used across various societal domains, bolstering programming education. Numerous programming novices complete introductory courses through online p...
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Aiming at the problem of insufficient positioning accuracy in wireless sensor networks using received signal strength (RSS) in non-line of sight (NLOS) environment, a new location algorithm based on semidefinite progr...
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Source code editor have different features to ease and speed-up the developer works. this paper proposed the source code editor BUILD integrated with Community Question and Answer (QA) and stack overflow web service. ...
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In this paper, the dynamic programming for optimal battery energy control in e-CNY vehicle-to-grid implementation is investigated from two levels. At the hardware implementation level, an e-CNY V2G real-time settlemen...
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Scripting language employ high-level constructs to interpret and execute one command at a time. In general scripting languages are easier to learn and faster to code than structured and compiled languages such as C an...
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this paper introduces a new cross-platform programming framework for developing quantum-accelerated scientific computing applications and executing them on most of today's cloud-based quantum computers and simulat...
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ISBN:
(纸本)9783030504335;9783030504328
this paper introduces a new cross-platform programming framework for developing quantum-accelerated scientific computing applications and executing them on most of today's cloud-based quantum computers and simulators. It makes use of C++ template meta-programming techniques to implement quantum algorithms as generic, platform-independent expressions, which get automatically synthesized into device-specific compute kernels upon execution. Our software framework supports concurrent and asynchronous execution of multiple quantum kernels via a CUDA-inspired stream concept.
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